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- W2332854804 abstract "The development of computationally fast and robust RANS-based jet noise prediction tools are essential to improve the design of quieter engine nozzles. Various jet noise methodologies have been proposed since the 1990’s, but most of these methods have remained as research tools instead of being commercial viable. All RANS-based jet noise methods include model coefficients associated with eddy length-scales and time-scales. Computation of these model coefficients are dependent on measured acoustic spectra at 90 far field polar angle, thus making it difficult to predict noise from new conceptual nozzle configurations. In the current work, improvements to a RANS-based jet noise prediction method are proposed. The source model is based on Lighthill’s acoustic analogy and ray theory is used to compute the propagation effects. The current work focuses on arriving at a formalism to determine the RANS-associated length-scale and time-scale coefficients with reduced dependency on experimental data. The formulation is based on a parametric study of a range of jet nozzles and varying flow conditions. As an outcome, the effect of various jet noise parameters on the far field noise is investigated." @default.
- W2332854804 created "2016-06-24" @default.
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- W2332854804 date "2015-06-18" @default.
- W2332854804 modified "2023-09-23" @default.
- W2332854804 title "Parametric Study of Jet Nozzles Using a RANS-Based Jet Noise Prediction Tool" @default.
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- W2332854804 doi "https://doi.org/10.2514/6.2015-2372" @default.
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